目录
- 1 What is supervised learning ?
- 2 What is unsupervised learning?
- 3 What is clustering?
- 4 Supervised VS unsupervised learning
1 What is supervised learning ?
(1)we teach the model then with that knowledge.it can predict unkown or future instances
(2)Teaching the model with labeled data告诉模型数据和数据特征对应的标签
(3)有两种类型的监督学习-Classification and Regression
- Classification is the process of predict discrete class labels or categories
- Regerssion is the process of predicting continuous values
2 What is unsupervised learning?
(1)我们不用监督模型,让模型自己去挖掘特征和标签。The model works on its own to discover information .意味着无监督学习算法训练数据,然后得到一个未标签的数据。
(2)无监督学习技术
- Dimension reduction
- Density estimation发现数据结构
- Market basket analysis
- Clustering
3 What is clustering?
(1)Clustering is grouping of data points or objects that are somehow similar by
- Discover structure
- Summarization
- Anomaly detection